Dell Inc. Dell Pro Max 14 MC14250
Geekbench AI Score
4684
Single Precision Score
4466
Half Precision Score
11276
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 10 2025 11:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Dell Pro Max 14 MC14250 |
| Motherboard | Dell Inc. 0K9TDW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2980
554.3 IPS |
|
|
Image Classification (HP)
|
100% |
2955
549.5 IPS |
|
|
Image Classification (Q)
|
100% |
8113
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3804
61.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8201
133.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6387
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
5600
6.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
23583
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
2196
174.2 IPS |
|
|
Object Detection (HP)
|
100% |
3050
241.9 IPS |
|
|
Object Detection (Q)
|
88% |
8287
664.3 IPS |
|
|
Face Detection (SP)
|
100% |
8039
95.5 IPS |
|
|
Face Detection (HP)
|
100% |
8755
104.0 IPS |
|
|
Face Detection (Q)
|
100% |
16530
196.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6910
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7308
56.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
20377
158.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19510
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16542
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
64361
83.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3579
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2457
90.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8665
320.9 IPS |
|
|
Text Classification (SP)
|
100% |
2711
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (Q)
|
92% |
4438
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3044
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4517
77.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3066
52.8 IPS |
